Cloud Dataflow Google-provided templates for solving in-Cloud data tasks

A context engineering agent designed to generate, manage, and optimize structured context sets from your database schemas. It bridges the gap between Large Language Models (LLMs) and databases by compiling, evaluating, and maintaining the precise operational context needed for highly accurate natural language-to-SQL query generation.

GCP Config Connector, a Kubernetes add-on for managing GCP resources

EvalBench is a flexible framework designed to measure the quality of generative AI (GenAI) workflows around database specific tasks.

A user-space file system for interacting with Google Cloud Storage

PerfKit Benchmarker (PKB) contains a set of benchmarks to measure and compare cloud offerings. The benchmarks use default settings to reflect what most users will see. PerfKit Benchmarker is licensed under the Apache 2 license terms. Please make sure to read, understand and agree to the terms of the LICENSE and CONTRIBUTING files before proceeding.

Java and Kotlin Code samples used on cloud.google.com

An open-source Python SDK for analyzing, evaluating, and curating agent traces stored in BigQuery. Built on top of the BigQuery Agent Analytics, it provides a consumption-layer toolkit for agent observability, analysis, evaluation, and advanced capabilities like context graph at scale.

This repository is a collection of accelerated platform best practices, reference architectures, example use cases, reference implementations, and various other assets on Google Cloud.